不对称的N玩家信任游戏的共同进化动态与以边际驱动的环境反
Zhipeng Zhang1, Chen Yang1, Weiwei Han2
1School of Artificial Intelligence, Tiangong University, Tianjin 300387, China.
Chaos (Woodbury, N.Y.)
|December 5, 2025
概括
本研究引入了一个动态利机制,以了解环境因素如何影响对N玩家信任游戏 (TG) 的信任. 动态的边缘和处罚可以塑造复杂的社会系统中的集体信任的演变.
科学领域:
- 进化游戏理论 进化游戏理论
- 行为经济学是一种行为经济学.
- 社会动力学 社会动力学
背景情况:
- 信任游戏 (TG) 研究强调了战略激励互动.
- 环境因素对个人决策和信任演变的影响仍然不清楚.
研究的目的:
- 调查动态激励机制,特别是动态利如何影响N玩家信任游戏中的信任演变.
- 分析信任和环境反的共同进化动态.
主要方法:
- 开发了一个具有动态边际的不对称N玩家信任游戏的共同进化模型.
- 分析了系统动态,固定点和稳定性.
- 引入了针对非投资者的罚款机制.
主要成果:
- 动态边缘极大地影响了信任的进化过程.
- 惩罚机制可以诱导持续的波动,在特定条件下影响信任演变.
- 数字模拟验证了理论发现.
结论:
- 动态利作为环境反,促进集体信任.
- 这项研究为复杂的社会互动中的信任演变提供了新的见解.
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